Senior Lead Data Analyst

Candidates must possess 8+ years of progressive experience in data analytics, BI, or data science, with a demonstrated ability to lead large-scale, cross-functional analytics initiatives that yield measurable business impact. Advanced SQL fluency and significant experience with Looker or similar BI platforms at the data modeling layer are essential. Deep expertise in analytics architecture, including reusable pipelines, event taxonomies, semantic layers, and KPI governance, is required. A strong track record in designing and implementing enterprise-wide measurement and experimentation strategies, coupled with strategic thinking, business acumen, and the ability to connect high-level objectives with tactical data execution, is crucial. The ideal candidate is skilled at navigating ambiguity, setting direction in complex environments, and is a highly effective communicator and influencer, particularly at the executive level. Strong mentoring and leadership presence, embodying self-awareness, resilience, and thoughtfulness in interpersonal dynamics, are also key requirements. Preferred qualifications include experience in platform analytics, data governance, or embedded enterprise analytics, proficiency in Python or R for statistical modeling/automation, familiarity with tools like dbt or Airflow, knowledge of causal inference or machine learning, and a track record of leading change management efforts within data organizations.